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Surface reflectance has a central role in the analysis of land surface for a broad variety of agricultural, geological and urban studies.An accurate atmospheric correction, obtained by an appropriate selection of aerosol type and loading, is the first requirement for areliable surface reflectance estimation. The aerosol type is defined by its micro-physical properties, while the aerosol loading isdescribed by optical thickness at 550 nm. The aim of this work is to evaluate the radiative impact of the aerosol model on the surfacereflectance obtained from CHRIS (Compact High Resolution Imaging Spectrometer) hyperspectral data over land by using thespecifically developed algorithm CHRIS@CRI (CHRIS Atmospherically Corrected Reflectance Imagery) based on the 6SV radiativetransfer model. Five different aerosol models have been used: one provided by the AERONET inversion products (used asreference), three standard aerosol models in 6SV, and one obtained from the output of the GEOS-Chem global chemistry-transportmodel (CTM). As test case the urban site of Bruxelles and the suburban area of Rome Tor Vergata have been considered. The resultsobtained encourages the use of CTM in operational retrieval and provides an evaluation of the role of the aerosol model in theatmospheric correction process, considering the different microphysical properties impact

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

EVALUATION OF THE AEROSOL TYPE EFFECT ON THE SURFACE REFLECTANCE RETRIEVAL USING CHRIS/PROBA IMAGES OVER LAND